01
Operated AI employee
A named role doing one workflow — Rebotify owns the model selection, prompts, integrations, and runtime.
Managed AI
Managed AI for teams that want the work done, not the platform
Managed AI means somebody else owns the model, the prompts, the integrations, the monitoring, and the weekly tuning. Your team owns approvals, decisions, and the business outcome. Rebotify is the operator of the AI employee — you are the employer.
Mia is our AI employee. Email her — she’ll book your 15-minute call. That’s the demo.
48h
To first drafts in the approval queue.
1
Role you employ — the operator runs everything behind it.
7d
Tuning rhythm — misses become rules within the same week.
48-HOUR BUILD
What Rebotify ships first.
02
Weekly review and tuning
Misses, edge cases, and policy updates become new rules and examples in the playbook every week.
03
Monitoring and incident response
If the queue stops clearing, the AI hallucinates, or an upstream tool changes, the operator catches and fixes it — not the customer.
04
Quarterly role review
Each quarter, we audit the scope, expand or shrink the role based on what worked, and align with the operating metric.
BUYING SIGNALS
Use it when the work is already costing time.
DIY agent platforms need a team to babysit them
Self-serve platforms move the work from "doing the task" to "building and maintaining the agent that does the task" — same headcount, different job.
Quality drifts the week after launch
Without an owner of the prompts and examples, output degrades quietly as the work shifts, edge cases pile up, and nobody is tuning.
Tool changes break the system
New CRM fields, policy updates, or upstream API changes silently break the workflow until somebody notices the queue stopped clearing.
HUMAN CONTROL
The AI employee prepares the work. People keep judgment.
You approve every sensitive decision
Customer-facing, legal, financial, and out-of-pattern actions wait in the queue for a named human to sign off.
Scoped tool access
The AI employee gets only the permissions its job needs. Access can be revoked any day, same day.
Nothing trains shared models
Your data and prompts stay private to your tenant. Tuning happens inside the engagement, not in a shared pool.
FIRST WEEK PLAN
What a clean first week actually looks like.
Choose another workflow if
- You want to build your own agents in-house and own every prompt and integration.
- You want a platform license you can resell to your customers.
- You want one-off project delivery with no ongoing operating relationship.
A good first week looks like
- The team approves work and reviews metrics — nobody on payroll is debugging prompts.
- Misses become updates to the playbook within the same week they happen.
- When a tool changes (new CRM field, new approval policy), the operator handles the change.
EXAMPLE WORKFLOWS
The kind of work it takes on first.
Inbox triage and reply drafting
The operator runs the morning queue, your team approves what goes out, and weekly tuning closes the loop on missed categories.
Document checks and exception flagging
Contracts, invoices, or applications get a first-pass review inside the operator-managed playbook; humans review only the flags.
Weekly reporting and anomaly summaries
Numbers, narrative, and call-outs prepared by the AI employee; the operator tunes the report template as the business changes.
Runs inside
The employee works in the systems your team already uses — no new dashboard to log into.
- Gmail
- Outlook
- Slack
- HubSpot
- Salesforce
- Notion
- Zendesk
- Google Drive
FAQ
Final buying questions.
What will Rebotify take off the team first?
Managed AI delivers the AI employee as a working role, not as software to configure. The provider scopes the workflow, wires the tools, runs the operating loop, and tunes the system each week. The customer reviews work, approves decisions, and owns the outcome.
Who is Managed AI best for?
Managed AI is best for operators who want AI work delivered, not configured with a repeated workflow, a clear human owner, and enough examples to teach the AI employee what good work looks like.
What does Rebotify deliver in the first 48 hours?
Rebotify maps the workflow, writes the first operating playbook, connects the minimum tools, and puts useful drafts, checks, or summaries into a human approval queue.
Do humans still approve the work?
Yes. Rebotify normally starts with human approval for customer-facing, financial, legal, or policy-sensitive actions. The AI employee prepares the work and escalates uncertainty.
AI automation services
AI automation services for one workflow at a time
AI automation services for SMB and middle-market teams. Rebotify builds and runs one managed AI employee, live in 48 hours.
AI automation agency
An AI automation agency that ships an employee, not a retainer
Rebotify is an AI automation agency that builds and runs one managed AI employee per workflow. Live in 48 hours. No retainer, no platform rollout.
Business process automation services
Business process automation services for one expensive loop
Business process automation services for SMB and middle-market teams. Start with one workflow, approvals, and weekly tuning.
AI workflow automation services
AI workflow automation services that move one stuck process
AI workflow automation services for one stuck process: map it, wire tools, create approvals, and tune weekly.
48-HOUR START
Bring us one workflow. Leave with a 48-hour plan.
Email Mia
Mia is our AI employee. Email her — she’ll book your 15-minute call. That’s the demo.